• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.4
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• pp.819-833
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• 2013

Computing global features based on local features using a bio-inspired framework has shown promising performance. However, for some tough applications with large intra-class variances, a single local feature is inadequate to represent all the attributes of the images. To integrate the complementary abilities of multiple local features, in this paper we have extended the efficacy of the bio-inspired framework, HMAX, to adapt heterogeneous features for global feature extraction. Given multiple global features, we propose an approach, designated as parameterized metric learning, for high dimensional feature fusion. The fusion parameters are solved by maximizing the canonical correlation with respect to the parameters. Experimental results show that our method achieves significant improvements over the benchmark bio-inspired framework, HMAX, and other related methods on the Caltech dataset, under varying numbers of training samples and feature elements.

• Journal of the Korean Society of Safety
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• v.13 no.4
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• pp.230-239
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• 1998

Though limited, Model Human Processor (MHP) has been used to explain the complex users' behaviors during human-computer interactions in a simplified manner. MHP consists of perceptual, cognitive and motor systems, each with processors and memories interacting with each other in serial or parallel mode. The important parameters of memory include the storage capacity, the decay time, and the code type of a memorized item. The important parameter of a processor is the cycle time. Using these features of the model, this study developed a computerized cognitive process simulator to predict the cognitive process time of a class match task process. An experimental validity test result showed that the mean prediction time for cognitive process of the class match task simulated 50 times by the simulator was consistent with the mean cognitive process time of the same task performed by 37 subjects. Animation of the data flow during the class match task simulation will help understand the invisible human cognitive process.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.94.2-94
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• 2001

This paper investigates human discomfort response to the foot-to-head acceleration. During ambulance transport, a patient suffers from the foot-to-head acceleration, which might deteriorate his illness. To investigate the relationship between the ride discomfort and the foot-to-head acceleration, experiments were performed using a van type automobile similar to an ambulance. The experimental results show that head-ward acceleration is more uncomfortable than the foot-ward acceleration. For further investigation of the difference of ride discomfort caused by the direction of acceleration, two experiments were peformed using a tilt bed. In these experiments, foot-to-head acceleration is applied to the subjects by tilting the bed. Using a tilt bed, we investigated two things; relationship between discomfort and inclination of the bed ...

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3257-3269
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• 2020

Articulation disorders are characterized by an inability to achieve clear pronunciation due to misuse of the articulators. In this paper, a method of detecting such disorders by comparing to the standard pronunciations is proposed. This method defines the standard pronunciations from the speeches of normal children by clustering them with three features which are the Linear Predictive Cepstral Coefficient (LPCC), the Mel-Frequency Cepstral Coefficient (MFCC), and the Relative Spectral Analysis Perceptual Linear Prediction (RASTA-PLP). By calculating the distance between the centroid of the standard pronunciation and the inputted pronunciation, disordered speech whose features locates outside the cluster is detected. 89 children (58 of normal children and 31 of children with disorders) were recruited. 35 U-TAP test words were selected and each word's standard pronunciation is made from normal children and compared to each pronunciation of children with disorders. In the experiments, the pronunciations with disorders were successfully distinguished from the standard pronunciations.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.311-311
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• 2000

We propose a DP-based formulation for matching line patterns by defining a robust and stable geometric representation that is based on the conceptual organizations. Usually, the endpoint proximity and collinearity of image lines, as two main conceptual organization groups, are useful cues to match the model shape in the scene. As the endpoint proximity, we detect junctions from image lines. We then search for junction groups by using geometric constraint between the junctions. A junction chain similar to the model chain is searched in the scene, based on a local comparison. A Dynamic Programming-based search algorithm reduces the time complexity for the search of the model chain in the scene. Our system can find a reasonable matching, although there exist severely distorted objects in the scene. We demonstrate the feasibility of the DP-based matching method using both synthetic and real images.

• Journal of Korean Physical Therapy Science
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• v.2 no.4
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• pp.793-805
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• 1995

The purposes of this review are to know the characteristics and physical changes of elderly person, and to give the information about elderly person when the geriatric physical therapy will be needed in Korea. Current literature on physiological changes that occur in humans owing to aging is reviewed. The musculoskeletal, cardiopulmonary, neurological, perceptual, gastrointestinal, endocrine and immunological systems are discussed. Also, The cognition, personality, and role changes are discussed. We are discussed the changes of aging; biological theory, psychosocial theory and environmental theory. The effects of disuse and of exercise are reviewed. Implications for geriatric physical therapy are suggested.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1296-1305
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• 2019

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailed information in current fusion methods, an infrared and visible light image fusion method based on variational multiscale decomposition is proposed. Firstly, the fused images are separately processed through variational multiscale decomposition to obtain texture components and structural components. The method of guided filter is used to carry out the fusion of the texture components of the fused image. In the structural component fusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightness comprehensive information. Finally, the texture components of the two images are fused. The structure components are added to obtain the final fused image. The experimental results show that the proposed method displays very good noise robustness, and it also helps realize better fusion quality.

• Korean Journal of Computational Design and Engineering
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• v.18 no.3
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• pp.155-166
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• 2013

We present recent human-vehicle interaction (HVI) research conducted in the area of defense and military application. Research topics discussed in this paper include: training simulation for overland navigation tasks; expertise effects in overland navigation performance and scan patterns; pilot's perception and confidence on an overland navigation task; effects of UAV (Unmanned Aerial Vehicle) supervisory control on F-18 formation flight performance in a simulator environment; autonomy balancing in a manned-unmanned teaming (MUT) swarm attack, enabling visual detection of IED (Improvised Explosive Device) indicators through Perceptual Learning Assessment and Training; usability test on DaViTo (Data Visualization Tool); and modeling peripheral vision for moving target search and detection. Diverse and leading HVI study in the defense domain suggests future research direction in other HVI emerging areas such as automotive industry and aviation domain.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2259-2261
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• 1998

Auditory Models that are capable of achieving human performance would provide a basis for realizing effective speech processing systems. Perceptual invariance to adverse signal conditions (noise, microphone and channel distortions, room reverberations) may provide a basis for robust speech recognition and speech coder with high efficiency. Auditory model that simulates the part of auditory periphery up through the auditory nerve level and new distance measure that is defined as angle between vectors are described.

• Food Science and Biotechnology
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• v.16 no.1
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• pp.8-17
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• 2007

The main purpose of flavor research using conventional extraction methods, such as solvent extraction, distillation, and dynamic headspace, is to effectively extract, identify, and quantify flavor volatiles present in food matrices. In recent flavor research, the importance of understanding flavor release during mastication is increasing, because only volatiles available in the headspace contribute to the perception of food 'flavors'. Odor potency differs among flavor volatiles, and the physicochemical characteristics of flavor volatiles affect their release behavior and interaction with various food matrices. In this review, a general overview of flavor release and flavor-food interactions within frozen dessert systems is given with emphasis on chemical, physiological, and perceptual aspects. Chemical and sensory analysis methods competent for investigating such flavor-food interactions are illustrated. Statistical analysis techniques recommended for data acquired from such experiments are also discussed.